Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization

MG Bedolla-Ibarra, MDC Cabrera-Hernandez… - Evolving Systems, 2022 - Springer
Attention is one of the most important cognitive functions since it allows us to discriminate
irrelevant stimuli when performing an activity. The presence of an attention deficit …

Methodology proposal of ADHD classification of children based on cross recurrence plots

MA Aceves-Fernandez - Nonlinear Dynamics, 2021 - Springer
Dealing with electroencephalogram signals (EEG) is often not easy. The lack of predicability
and complexity of such non-stationary, noisy and high-dimensional signals is challenging …

Advancing ADHD diagnosis: using machine learning for unveiling ADHD patterns through dimensionality reduction on IoMT actigraphy signals

MM Misgar, MPS Bhatia - International Journal of Information Technology, 2024 - Springer
Mental health is an integral component of overall well-being, profoundly influencing the lives
of individuals, families, and communities worldwide. As our understanding of mental health …

Change blindness in adolescents with attention-deficit/hyperactivity disorder: use of eye-tracking

M Hochhauser, A Aran, O Grynszpan - Frontiers in Psychiatry, 2022 - frontiersin.org
Objective This study investigated change detection of central or marginal interest in images
using a change-blindness paradigm with eye tracking. Method Eighty-four drug-naïve …

Classification of Attention Deficit Hyperactivity Disorder Using Machine Learning

J Singh, G Kaur, N Kapoor - 2022 IEEE 3rd Global Conference …, 2022 - ieeexplore.ieee.org
The global burden of mental ailments continues to rise, posing serious health risks as well
as huge social, human rights, and economic ramifications in every country. One such …

[引用][C] Desarrollo de algoritmos de detección y clasificación de niveles de atención basados en Inteligencia de Enjambre

MGB Ibarra - 2022